deepinv.sampling

This package contains various posterior sampling algorithms, including diffusion-based methods and MCMC methods. Please refer to the user guide for more details.

Diffusion

User Guide: refer to Diffusion for more information.

deepinv.sampling.DDRM	Denoising Diffusion Restoration Models (DDRM).
deepinv.sampling.DiffPIR	Diffusion PnP Image Restoration (DiffPIR).
deepinv.sampling.DPS	Diffusion Posterior Sampling (DPS).
deepinv.sampling.DiffusionSampler	Turns a diffusion method into a Monte Carlo sampler

Markov Chain Monte Carlo Langevin

User Guide: refer to Markov Chain Monte Carlo for more information.

deepinv.sampling.MonteCarlo	Base class for Monte Carlo sampling.
deepinv.sampling.ULA	Projected Plug-and-Play Unadjusted Langevin Algorithm.
deepinv.sampling.SKRock	Plug-and-Play SKROCK algorithm.